Naslov
Big data and data science: a scientometrics approach

Autori
Papić, Anita ; Eskić, Endrina

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MakeLearn 2018-Integrated Economy and Society: Diversity, Creativity, and Technology ; Proceedings of the MakeLearn and TIIM International Conference / Valerij Dermol - Celje : ToKnowPress, 2018, 233-240

ISBN
978-961-6914-23-9

Skup
MakeLearn-Management, Knowledge and Learning International Conference 2018

Mjesto i datum
Napulj, Italija, 16.05.2018. - 18.05.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
big data, business intelligence, data science, scientometrics

Sažetak
Big data can be defined as collection of data from traditional and digital sources inside and outside of certain organization which can be used for analyzes and discoveries. This paper gives theoretical insight into the emerging field of big data and data science as multidisciplinary science with main focus on data. Data science field aroused at intersection of several other well established fields such as social sciences, statistics, information science, computer science and design. Also in the paper are described data science techniques such as data mining, machine learning and data visualization. The special emphasize is given to business intelligence (BI) which encompasses strategies and technologies that companies use for business data analytics. In the empirical part of the paper the scientometrics analyze was conducted to find out which publications publish about big data and data science the most, which regions, institutions and authors are the most productive in the field of big data and data science and in which scientific disciplines are big data and data science employed the most.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA